The Numerical Approach to the Fisher's Equation via Trigonometric Cubic B-spline Collocation Method
Numerical Analysis
2016-04-26 v1
Abstract
In this study, we set up a numerical technique to get approximate solutions of Fisher's equation which is one of the most important model equation in population biology. We integrate the equation fully by using combination of the trigonometric cubic B-spline functions for space variable and Crank-Nicolson for the time integration. Numerical results have been presented to show the accuracy of the current algorithm. We have seen that the proposed technique is a good alternative to some existing techniques for getting solutions of the Fisher's equation.
Keywords
Cite
@article{arxiv.1604.06864,
title = {The Numerical Approach to the Fisher's Equation via Trigonometric Cubic B-spline Collocation Method},
author = {Ozlem Ersoy and Idris Dag},
journal= {arXiv preprint arXiv:1604.06864},
year = {2016}
}